Booking Reviews Scraper (Fast & cheap) ⭐

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🏨 Booking Reviews Scraper — Extract Hotel Reviews from Booking.com

The Booking Reviews Scraper is a powerful and easy-to-use tool designed to extract detailed guest reviews from Booking.com listings. By providing a hotel review page URL, you can collect structured data from real customer experiences to support sentiment analysis, customer satisfaction research, and more.

✅ What This Scraper Extracts

For each review, the scraper retrieves:

Review ID🔢: Unique identifier for the review
Review Score ⭐: Guest rating(e.g.,8.0)
Review Date 📅: Date the review was posted
Approved ✅: Whether the review was approved by Booking
Helpful Votes 👍: Number of users who found the review helpful
Translatable 🌐: Indicates if the review can be translated
Review Title 📝: Title of the review(if available)
Positive Text 😊: What the guest liked
Negative Text 😐: What the guest didn’t like
Language 🌍: Language the review was written in
Username 👤: Name or alias of the reviewer
Anonymous 🔒: Whether the review is anonymous
Guest Type 🛏️: Type oftraveler(e.g., Couple, Solo, Family)
Country 🌎: Country of the reviewer
Country Code 🇺🇸:ISO country code
Avatar URL🖼️: Link to user avatar image
Check-in Date 📥: Date of check-in
Check-out Date 📤: Date of check-out
Nights Stayed 🌙: Duration of the stay in nights
Stay Status ✅: Whether the reviewer actually stayed
Customer Type 💼: Customer category(e.g.,COUPLES,BUSINESS)
Room ID🛌: Internal room identifier
Room Type 🏠: Description of the room booked
Photo URLs 📸: URLs of photos included in the review(if any)

🚀 How to Use the Booking Reviews Scraper

1. Input Parameters: Provide the Booking.com hotel review URL (you can use filters like language, review type, etc.).

2. Start Scraping: Click “Start” to begin extraction. The scraper will navigate through the review pages and collect all available review data.

3. Download the Results: Once the run is finished, download your data in JSON, CSV, Excel, or HTML table formats.

💡 Use Cases

• Hotel Reputation Analysis 🧾: Analyze guest satisfaction and detect recurring issues

• Market Research 🔍: Compare multiple properties to understand traveler preferences

• Sentiment Analysis 💬: Train AI models to detect positive or negative opinions

• Customer Experience Optimization 🤝: Improve hospitality services based on real feedback

💸 Pricing

This scraper operates on a subscription basis at a cost of $19.49/month.

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🔑 Input Example 🔧

To run the Booking Reviews Scraper, provide:

{
"url":"https://www.booking.com/hotel/xx/reviews.html",
"maxReviews":200
}

🔧 Output Example

[
{
"review_url":"512008318365000a",
"review_score":8.0,
"review_date":1747189334,
"is_approved": true,
"helpful_votes":0,
"is_translatable": false,
"title":"N/A",
"positive_text":"Cozy and clean...",
"negative_text":"It's indeed cozy...",
"language":"xu",
"username":"Andrew",
"anonymous": false,
"guest_type":"Couple",
"country_name":"United States",
"country_code":"us",
"avatar_url":"https://xx.bstatic.com/static/img/review/avatars/ava-a.png",
"checkin_date":"2025-04-04",
"checkout_date":"2025-04-05",
"num_nights":1,
"stay_status":"stayed",
"customer_type":"COUPLES",
"room_id":1238106004,
"room_type":"Double Room with Private Bathroom",
"photo_urls":[]
}
]

📫 Support

🌟 Leave us a five star if you are satisfied with the product! 🌍 For any questions, specific needs, or issues, please reach out through Apify's platform or via email Storm_Scraper 🌪️🌩️